Papers
24
Total Citations
167
H-Index
9
About
Henry Hexmoor is a prominent researcher in artificial intelligence, autonomous robotics, and multi-agent systems, whose work spans nearly four decades of foundational contributions to intelligent systems design. His early work, including a 1986 paper on fuzzy logic approaches to robotic path planning with obstacle avoidance (21 citations), established him as a pioneer in applying fuzzy reasoning to real-time robotic navigation challenges. Hexmoor has made significant contributions to the architecture of intelligent agents, co-developing the Grounded Layered Architecture with Integrated Reasoning (GLAIR), which addressed how autonomous agents can ground abstract concepts in physical perception and action. His sustained interest in autonomy control software throughout the late 1990s helped define shared organizational principles across the AI and robotics communities. Later work on reactive collision avoidance for multiple moving agents demonstrated his commitment to practical, scalable solutions for multi-robot coordination. His 2013 textbook, *Essential Principles for Autonomous Robotics*, consolidating citations across multiple editions, reflects his dedication to education and knowledge dissemination. With contributions ranging from SLAM methodologies to software architectures for hardware agents, Hexmoor's career represents a comprehensive intellectual investment in making robots genuinely autonomous, adaptive, and collaborative.
Research Focus
Key Achievements
Top Papers
- 1A fuzzy logic approach to robotic path planning with obstacle avoidance21 citations · 1986
- 2Software architectures for hardware agents15 citations · 1997
- 3Essential Principles for Autonomous Robotics13 citations · 2013
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- 6Introduction to autonomy control software11 citations · 2000
- 7Essential Principles for Autonomous Robotics9 citations · 2013
- 8Autonomy control software9 citations · 1999
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